import os
from typing import List, Tuple, Optional

import aiohttp

from autorag.nodes.passagereranker.base import passage_reranker_node
from autorag.utils.util import get_event_loop, process_batch

JINA_API_URL = "https://api.jina.ai/v1/rerank"


@passage_reranker_node
def jina_reranker(
	queries: List[str],
	contents_list: List[List[str]],
	scores_list: List[List[float]],
	ids_list: List[List[str]],
	top_k: int,
	api_key: Optional[str] = None,
	model: str = "jina-reranker-v1-base-en",
	batch: int = 8,
) -> Tuple[List[List[str]], List[List[str]], List[List[float]]]:
	"""
	Rerank a list of contents with Jina rerank models.
	You can get the API key from https://jina.ai/reranker and set it in the environment variable JINAAI_API_KEY.

	:param queries: The list of queries to use for reranking
	:param contents_list: The list of lists of contents to rerank
	:param scores_list: The list of lists of scores retrieved from the initial ranking
	:param ids_list: The list of lists of ids retrieved from the initial ranking
	:param top_k: The number of passages to be retrieved
	:param api_key: The API key for Jina rerank.
	    You can set it in the environment variable JINAAI_API_KEY.
	    Or, you can directly set it on the config YAML file using this parameter.
	    Default is env variable "JINAAI_API_KEY".
	:param model: The model name for Cohere rerank.
	    You can choose between "jina-reranker-v1-base-en" and "jina-colbert-v1-en".
	    Default is "jina-reranker-v1-base-en".
	:param batch: The number of queries to be processed in a batch
	:return: Tuple of lists containing the reranked contents, ids, and scores
	"""
	if api_key is None:
		api_key = os.getenv("JINAAI_API_KEY", None)
		if api_key is None:
			raise ValueError(
				"API key is not provided."
				"You can set it as an argument or as an environment variable 'JINAAI_API_KEY'"
			)

	tasks = [
		jina_reranker_pure(
			query, contents, scores, ids, top_k=top_k, api_key=api_key, model=model
		)
		for query, contents, scores, ids in zip(
			queries, contents_list, scores_list, ids_list
		)
	]
	loop = get_event_loop()
	results = loop.run_until_complete(process_batch(tasks, batch))

	content_result, id_result, score_result = zip(*results)

	return list(content_result), list(id_result), list(score_result)


async def jina_reranker_pure(
	query: str,
	contents: List[str],
	scores: List[float],
	ids: List[str],
	top_k: int,
	api_key: str,
	model: str = "jina-reranker-v1-base-en",
) -> Tuple[List[str], List[str], List[float]]:
	session = aiohttp.ClientSession()
	session.headers.update(
		{"Authorization": f"Bearer {api_key}", "Accept-Encoding": "identity"}
	)
	async with session.post(
		JINA_API_URL,
		json={
			"query": query,
			"documents": contents,
			"model": model,
			"top_n": top_k,
		},
	) as resp:
		resp_json = await resp.json()
		if "results" not in resp_json:
			raise RuntimeError(f"Invalid response from Jina API: {resp_json['detail']}")

		results = resp_json["results"]
		indices = list(map(lambda x: x["index"], results))
		score_result = list(map(lambda x: x["relevance_score"], results))
		id_result = list(map(lambda x: ids[x], indices))
		content_result = list(map(lambda x: contents[x], indices))

		await session.close()
		return content_result, id_result, score_result
